iPhone17,2
Geekbench AI Score
4354
Single Precision Score
32682
Half Precision Score
45822
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | November 09 2024 11:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
15253
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20893
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18128
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23984
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8230
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
148714
173.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292210
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
16431
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22826
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3404
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
41776
496.4 IPS |
|
|
Face Detection (Q)
|
100% |
58358
693.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7414
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95041
732.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159545
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22703
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244866
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303651
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5374
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50143
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83640
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4454
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
4618
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9477
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11182
193.2 IPS |
